ReviewBioImpacts : BI2025
Mesenchymal stem cells as a therapeutic strategy to combat oxidative stress-mediated neuropathic pain.
Review in BioImpacts : BI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Microfragmented Adipose Tissue in Pain Management: Bridging Regenerative Biology and Clinical Therapeutics.Pain and therapy · 2026Review
- Relationships between dietary antioxidant capacity, systemic redox balance, and neuropathic pain after spinal cord injury.Spinal cord · 2026Article
- Enhanced odontoblast regeneration and anti-inflammatory effects of nanocurcumin-loaded BM-MSC-derived exosomes in an LPS-induced periodontitis rat model.BMC oral health · 2026Article
- Mechanochemically primed regenerative extracellular vesicles as a nanotherapeutic strategy for peripheral neuropathy.Journal of nanobiotechnology · 2026Article
- Protective effects of human umbilical cord mesenchymal stem cells-derived small extracelluar vesicles on corneal epithelial cells under hyperosmotic stress: Inhibition of oxidative damage and inflammation.Genetics and molecular biology · 2026Article
- Preclinical models of stem cell-mediated analgesia and tissue repair: mechanisms, challenges, and future directions.Frontiers in cellular neuroscience · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neuropathic pain, a chronic condition resulting from somatosensory system damage, remains a significant clinical challenge due to its complex pathophysiology and inadequate response to traditional therapies. Oxidative stress, characterized by an imbalance between free radicals production and antioxidant defenses, plays a pivotal role in the development and maintenance of neuropathic pain. Mesenchymal stem cells (MSCs) are multipotent stromal cells with the ability to differentiate into various cell types and possess immunomodulatory, anti-inflammatory, and regenerative properties, making them promising candidates for novel pain management strategies. Preclinical studies demonstrate that MSCs can reduce inflammation, scavenge reactive oxygen species (ROS), promote nerve regeneration, and modulate pain signaling pathways. Various administration routes, including intravenous and intrathecal, have been investigated to optimize MSC delivery and efficacy. Additionally, MSC-derived extracellular vesicles (EVs) represent a cell-free alternative with substantial therapeutic potential. Despite encouraging preclinical findings, further research is needed to refine MSC-based therapies, including the exploration of combination treatments and rigorous clinical trials, to translate these promising results into effective clinical applications for neuropathic pain relief. This review explores the therapeutic potential of MSCs in alleviating oxidative stress-mediated neuropathic pain.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.